Linear Algebra
Comprehensive exploration of advanced linear algebra concepts, including matrix operations, complex numbers, decompositions, and Jordan Normal Form, with practical examples and calculations.
Introducing Linear Algebra
Comprehensive exploration of linear algebra concepts, from basic operations to advanced topics, with practical applications using Julia and Python programming languages.
Modern Linear Algebra Using Python Instead of a Textbook
Explore linear algebra concepts through hands-on Python programming, covering matrix operations, decompositions, and applications in machine learning and data analysis.
Numerical Methods
Comprehensive exploration of numerical methods covering error analysis, linear systems, interpolation, differentiation, integration, and solving algebraic equations using various techniques.
LU-Decomposition of a Matrix - Linear Algebra Explained
Explore LU-Decomposition in linear algebra: definition, applications for solving systems, step-by-step process, and examples. Master this powerful technique for efficient matrix analysis.
PLU-Decomposition of a Matrix Explained - Linear Algebra
Explore PLU-decomposition of matrices, its applications in solving linear systems, and step-by-step process for finding LU decomposition and PLU factorization in linear algebra.